Signal detection using time-frequency distributions with nonunity kernels

2001 ◽  
Vol 40 (12) ◽  
pp. 2866 ◽  
Author(s):  
Khoa Nguyen Le
Keyword(s):  
Signal Detection ◽  
Frequency Distributions ◽  
Time Frequency

scholarly journals New feature extraction approach for epileptic EEG signal detection using time-frequency distributions

2010 ◽  
Vol 48 (4) ◽  
pp. 321-330 ◽  
Author(s):  
Carlos Guerrero-Mosquera ◽  
Armando Malanda Trigueros ◽  
Jorge Iriarte Franco ◽  
Ángel Navia-Vázquez
Keyword(s):  
Feature Extraction ◽  
Signal Detection ◽  
Eeg Signal ◽  
Frequency Distributions ◽  
Time Frequency ◽  
New Feature

LFM Signal Detection Method Based on Fractional Fourier Transform

2014 ◽  
Vol 989-994 ◽  
pp. 4001-4004 ◽  
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Yu Ming Zhu
Keyword(s):  
Fourier Transform ◽  
Signal Detection ◽  
Frequency Analysis ◽  
Experimental Analysis ◽  
Fractional Fourier Transform ◽  
Detection Method ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
Frequency Information ◽  
Strong Impulse

As a generalization of Fourier transform, the fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal, and it is considered a new tool for time-frequency analysis. This paper discusses some steps of FRFT in signal detection based on the decomposition of FRFT. With the help of the property that a LFM signal can produce a strong impulse in the FRFT domain, the signal can be detected conveniently. Experimental analysis shows that the proposed method is effective in detecting LFM signals.

A deductive construction of third-order time-frequency distributions

1994 ◽  
Vol 36 (3) ◽  
pp. 277-286 ◽  
Author(s):  
Pierre-Olivier Amblard ◽  
Jean-Louis Lacoume
Keyword(s):  
Third Order ◽  
Frequency Distributions ◽  
Time Frequency
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